Results 131 to 140 of about 14,496 (253)

Strategic Risk Based Forecasting of Brent Crude Oil Prices: A Comparative Analysis of Econometric and Machine Learning Models. [PDF]

Entropy (Basel)
Yılmaz TE, Zehir C.
europepmc   +1 more source

Entropy-Driven Adaptive Decomposition and Linear-Complexity Score Attention: An AI-Powered Framework for Crude Oil Financial Market Forecasting. [PDF]

Entropy (Basel)
He J, Ma C, Wang S, Zhai Y, Tang Q.
europepmc   +1 more source

Crude oil price forecasting based on hybridizing wavelet multiple linear regression model, particle swarm optimization techniques, and principal component analysis. [PDF]

ScientificWorldJournal, 2014
Shabri A, Samsudin R.
europepmc   +1 more source

Pricing Efficiency and Price Discovery of International Crude Oil Futures Prices on China's Crude Oil Spot Prices

2018 International Conference on Economics, Finance, Business, and Development (ICEFBD 2018), 2018
openaire   +1 more source

Acetylene Semi‐Hydrogenation by Photocatalysis

Angewandte Chemie International Edition, EarlyView.
Photocatalytic acetylene semi‐hydrogenation is an emerging light‐driven route to polymer‐grade ethylene, offering a mild alternative to energy‐intensive thermocatalysis. By replacing H2 co‐feed with water or other proton sources, these systems can achieve high selectivity under ambient conditions.
Anna Fortunato, Brando Adranno, Sharon Silloni, Marianna Barbieri, Claudia Masia, Francesca Arcudi, Luka Đorđević   +6 more
wiley   +1 more source

Underweight prevalence among children under five in Sri Lanka: unpacking the role of food prices. [PDF]

BMC Nutr
Madanayaka WMGT, Fonseka KNN, Perera SD, de Silva T.   +3 more
europepmc   +1 more source

Empirical analysis of the correlation between China's Macroeconomic Market and Crude Oil Market based on mixed-frequency group factor model. [PDF]

PLoS One
Zhao J, Yin J.
europepmc   +1 more source

An investigation into crude oil pricing.

, 1986
The scope of this study is to provide an understanding of crude oil price determination. The approach to this general problem starts by identifying the key areas that will help us achieve the specific objectives of the research which are the derivation of both a theoretical and an empirical framework of price formation.
openaire   +1 more source

Forecasting crude oil futures price with energy uncertainty: Evidence from machine learning methods. [PDF]

PLoS One
Wei X.
europepmc   +1 more source

Modeling Saudi stock index returns and volatility: a dual approach using GARCH and neural networks. [PDF]

Front Artif Intell
Al-Besher S, Al-Najjar D.
europepmc   +1 more source